Now showing items 1-3 of 3

    • Inference on Treatment Effects after Selection amongst High-Dimensional Controls 

      Belloni, Alexandre; Chernozhukov, Victor; Hansen, Christian (Cambridge, MA: Department of Economics, Massachusetts Institute of Technology, 2012-05-03)
      We propose robust methods for inference on the effect of a treatment variable on a scalar outcome in the presence of very many controls. Our setting is a partially linear model with possibly non-Gaussian and heteroscedastic ...
    • Lasso Methods for Gaussian Instrumental Variables Models 

      Belloni, Alexandre; Chernozhukov, Victor; Hansen, Christian (Cambridge, MA: Department of Economics, Massachusetts Institute of Technology, 2011-02-25)
      In this note, we propose the use of sparse methods (e.g., LASSO, Post-LASSO, p LASSO, and Post-p LASSO) to form first-stage predictions and estimate optimal instruments in linear instrumental variables (IV) models with ...
    • Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain 

      Belloni, Alexandre; Chen, Daniel; Chernozhukov, Victor; Hansen, Christian (Cambridge, MA: Department of Economics, Massachusetts Institute of Technology, 2011-07-12)
      We develop results for the use of LASSO and Post-LASSO methods to form first-stage predictions and estimate optimal instruments in linear instrumental variables (IV) models with many instruments, p, that apply even when p ...